DeepSeek

Researcher focused on computer vision, multimodal learning, and generative AI. His public homepage says he is currently with Stepfun, after serving as a principal scientist at SenseTime Research and a researcher at Microsoft Research Asia, and that he earned a PhD in computer science from Tsinghua University.

Yukun Zha is a research scientist at DeepSeek. His public profile lists research interests in machine learning, reinforcement learning, and efficient inference, alongside a PhD in computer science from Dartmouth College.

Researcher at DeepSeek AI interested in generative models, large language models, multimodal learning, and computer vision. He is pursuing a PhD in electrical engineering at Stanford University after earning a bachelor's degree from Tsinghua University, and has also worked at Meta AI and Google.

PhD student at the University of Chinese Academy of Sciences and researcher at BIGAI focused on reasoning, long context, and diffusion models; previously interned at DeepSeek, Microsoft Research Asia, and IDEA Research.

Zihan Wang is a Northwestern University PhD candidate advised by Manling Li whose research focuses on agentic reinforcement learning, model efficiency, and long-context understanding. His official homepage lists prior internships at DeepSeek, Microsoft, and Yutori.

PhD student at Renmin University of China whose homepage highlights multimodal foundation models and video understanding, with public projects and papers including DeepSeek-VL and Kimi-VL.

Researcher at DeepSeek whose public homepage describes work on DeepSeek R1, V1, V2, V3, Math, Coder, and mixture-of-experts systems.

Researcher at Moonshot AI working on multimodal large language models; previously a key member of Alibaba's Qwen team and author of work including Kimi-VL, DeepSeek-VL, and Qwen technical reports.

Researcher at DeepSeek AI focusing on multimodal large language models and multimodal understanding.

Wangding Zeng is a researcher at DeepSeek. His OpenReview profile also lists graduate and undergraduate study at Beijing University of Posts and Telecommunications.

PhD student at Tsinghua University focusing on multimodal large language models, reasoning, and reinforcement learning.

PhD student at Tsinghua University focusing on LLM reasoning, RLHF, and multimodal large language models; research intern at DeepSeek.

Yue Cao is a researcher working on multimodal large language models and computer vision. His public homepage lists previous time at DeepSeek and Apple and links to work including DeepSeek-VL2.

MPhil student in the Department of Computer Science and Engineering at HKUST interested in LLM agents and multimodal models; previously interned with the DeepSeek LLM Alignment Team.

Research scientist at DeepSeek interested in reinforcement learning, large language models, and reasoning.

Han Bao is a research scientist at DeepSeek AI. His homepage says he works on machine learning theory, including out-of-distribution generalization, robust machine learning, self-supervised learning, and learning-based control.

PhD student at Shanghai Jiao Tong University advised by Prof. Xueqi Cheng. Her research interests include retrieval and agents, multimodal large language models, and biomedical large language models, and she is currently an intern at DeepSeek.

Researcher at DeepSeek AI and incoming Ph.D. student at the University of Hong Kong working on efficient and trustworthy LLMs, multimodal large language models, and reasoning.

PhD student at Tsinghua University and visiting student at MIT, focused on theorem proving and formal verification in Lean.

R. X. Xu is a research scientist at DeepSeek AI. His homepage says he works on trustworthy and efficient large language models, open-ended reasoning, and AI for healthcare.

Research scientist at DeepSeek interested in post-training, tool use, and in-context learning.

Research scientist at DeepSeek working on large language models, multimodal learning, and machine learning systems. He was previously an applied scientist at AWS AI Labs and earned a PhD in computer science from Johns Hopkins University.

Researcher focused on multimodal generative models and reinforcement learning; currently at ByteDance Seed and previously at DeepSeek.

Zhiniu Wen is a research scientist at DeepSeek. His homepage says his research interests include natural language processing, machine learning, large language models, and their applications.

Jifeng Dai

Yukun Zha

Sifan Zhou

Tong Wu

Zihan Wang

Haoyu Lu

Runxin Xu

Hao Yang

Shanghao Lu

Wangding Zeng

Junzhe Pan

Xiaoqian Shen

Yue Cao

Junlong Li

Bing Xue

Han Bao

Kexin Huang

Litong Wang

Renqi Xu

R. X. Xu

Wanjia Zhao

Wei Xiong

Yuxuan Ren

Zhiniu Wen